Imagine trying to find the perfect cake recipe by baking thousands of cakes and tasting them all—that is how batteries are currently made. This software acts like a digital kitchen that predicts exactly how ingredients will react before you even turn on the oven. It lets researchers test hundreds of chemical combinations on a computer in seconds, so they only build the ones that actually work.
Battery development currently relies on expensive, slow, and non-scalable trial-and-error laboratory experiments. This creates a bottleneck for the energy transition and increases the cost of bringing new materials to market.
A simulation software platform using a patented MD analytics method. It includes local and cloud-based versions for predicting battery material properties.
If you are an EV battery producer dealing with slow development cycles for high-capacity cells — this project developed simulation software that screens hundreds of compositions in a few clicks. This replaces tedious laboratory trial-and-error, significantly reducing the time and cost of R&D.
If you are a chemical supplier dealing with high material waste during the discovery of new electrolytes — this project developed a patented MD simulation method that predicts material properties digitally. This minimizes environmental impact and material waste by reducing the number of physical tests required.
If you are a power solution developer dealing with the high cost of hiring computational chemists — this project developed a user-friendly tool that allows R&D teams without specialized PhDs to optimize materials. This enables faster time-to-market for advanced batteries using a local or cloud-based interface.
It replaces the costly and non-scalable trial-and-error laboratory process with a simulation-based approach. This allows researchers to screen hundreds of compositions digitally before any physical testing occurs.
Yes, the project aims to reach TRL9 and provide a solution deployable both locally and in the cloud, specifically designed for commercial scale-up and use by EU-leading battery developers.
The software is based on a patented method for the analytics of Molecular Dynamics simulation outputs to provide automated detection of bonds and structures.
The project runs from July 2024 to June 2030, with a target to break even on an EBITDA level in 2027.
Based on available project data, it will be available as a local version for computers without cloud access, as well as a secure cloud architecture and a demo version for customer validation.
The project is led by a single Swedish SME, Compular AB, which holds 100% of the industry ratio. This lean structure suggests a fast-moving, deep-tech approach where the company maintains full control over its patented IP while validating the product directly with industrial customers.
Contact Compular AB in Sweden for licensing or pilot opportunities.
Contact us to connect with the Compular team for battery simulation integration.
